publication . Article . 2010

Appropriate Combination of Artificial Intelligence and Algorithms for Increasing Predictive Accuracy Management

Shahram Gilani Nia;
Open Access Persian
  • Published: 01 Mar 2010 Journal: Journal of Information Technology Management, volume 2, issue 4 (issn: 2008-5893, eissn: 2423-5059, Copyright policy)
  • Publisher: University of Tehran
Abstract
In this paper a simple and effective expert system to predict random data fluctuation in short-term period is established. Evaluation process includes introducing Fourier series, Markov chain model prediction and comparison (Gray) combined with the model prediction Gray- Fourier- Markov that the mixed results, to create an expert system predicted with artificial intelligence, made this model to predict the effectiveness of random fluctuation in most data management programs to increase. The outcome of this study introduced artificial intelligence algorithms that help detect that the computer environment to create a system that experts predict the short-term and ...
Subjects
free text keywords: artificial intelligence, Hybrid model, Prediction Management, The effectiveness, The Heuristic algorithm, lcsh:Information resources (General), lcsh:ZA3040-5185
Any information missing or wrong?Report an Issue